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Business Analytics Bootcamp (with Python): Zero to Mastery

via Zero To Mastery

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Details

Provider

Zero To Mastery
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

22 hours
Sessions

On-Demand

Found in

Overview

Become a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional by learning cutting-edge tools and techniques to make data-driven decisions.

The skills to become a professional Business Analyst and get hired
Step-by-step guidance from an industry professional
Learn to use Python for data visualization, causal inference, econometrics, segmentation, matching, and predictive analytics
Master the latest data and business analysis tools and techniques including Google Causal Impact, Facebook Prophet, Random Forest and much more
Participate in challenges and exercises that solidify your knowledge for the real world
Learn what a Business Analyst does, how they provide value, and why they're in demand
Enhance your proficiency with Python, one of the most popular programming languages
Use case studies to learn how analytics have changed the world and help individuals and companies succeed

Syllabus

Section 1 - Introduction

Business Analytics Bootcamp (with Python): Zero to Mastery
Introduction
Exercise: Meet Your Classmates and Instructor
Get The Course Materials
The Value of a Business Analyst
ZTM Plugin + Understanding Your Video Player
Set Your Learning Streak Goal

PART A: A/B Testing and Experimentation

What Is A/B Testing And Why It Is Important?

Section 2 - Hypothesis Testing for A/B Testing

Game Plan for Hypothesis Testing for A/B Testing
What is Hypothesis Testing?
CASE STUDY: FashionFiesta (Briefing)
Python: Hypothesis Testing Exercise
Confidence Level
P-value
Python: Build a P-value Function with ChatGPT
Two Sample T-Test
Python: Get to Know the Data with ChatGPT
Python: Levene's Test
Python: Two Sample T-Test
One-Tailed Test vs. Two-Tailed Test
Python: Get to Know the Data
Python: 1-Tailed Test
Chi-square Test
Python: Get to Know the Data
Python: Chi-square Test
CASE STUDY: Google 41 Shades of Blue

Section 3 - Introduction to A/B Testing

Game Plan for Introduction to A/B Testing
CASE STUDY: Krushing Kingdoms (Briefing)
Python: Libraries and Data
Python: EDA with ChatGPT
Python: Cleaning Outliers with ChatGPT
A/B Testing Terminology and Parameters
Setting Up Your A/B Test for Success
Randomization Techniques for A/B Testing
Python: Simple Randomization
Python: Block Randomization
Python: Stratified Randomization
Python: Clustered Randomization
Determining Sample Size Using Power Analysis
Python: Sample Size Calculator for Proportions
Determining A/B Test Sample Sizes for Continuous Outcomes
Python: Sample Size Calculator for Continuous Variables
Python: What if We Don't Clean the Outliers?
Danger of a too High Sample Size
Type I and Type II Error
Hypothesis Testing for Proportions
Python: Sampling Based on Optimal Sample Size
Python: Preparing Analysis
Python: Retention Test Post-Analysis.
Python: What if We Don't Sample?
Python: A/B Test Post-analysis
What Did You Learn in This Section?
CASE STUDY: How A/B Testing Helped Obama Raise Millions

Section 4 - Mastering A/B Testing

Game Plan for Intermediate A/B Testing
CASE STUDY: Amazon's Buy Button (Briefing)
Python: Kick off
Python: EDA with ChatGPT
Bayesian A/B Testing
Python: Bayesian AB Testing Setup
Bayesian Statistics
Python: Bayesian A/B Testing with TensorFlow
Python: Proportions Test with ChatGPT
Sequential Testing and Early Stopping
Python: Sequential Testing and Early Stopping
CASE STUDY: Netflix's Wednesday Thumbnails (Briefing)
A/B/C Test
Python: EDA with ChatGPT
Python: Chi-square Test with ChatGPT
Bonferroni Method
Python: Bonferroni Method
ANOVA Test and Hukey's HSD Test
Python: ANOVA Test
Python: Hukey's HSD Test
Limitations and Misinterpretations in A/B Tests
What Did You Learn in This Section?
CASE STUDY: The Ethical Considerations of Testing - AI in Recruitment

PART B: ECONOMETRICS & CAUSAL INFERENCE

What are Econometrics & Causal Inference and why are they important?

Section 5 - Google Causal Impact (Econometrics and Causal Inference)

Why Econometrics and Causal Inference
Google Causal Impact - Game Plan
Time Series Data
CASE STUDY: Bitcoin and Paypal
Difference-in-Differences Framework
Causal Impact Step-by-Step Guide
Python - Installing Packages and Libraries
Python - Defining Dates
Python - Loading Bitcoin Data
Assumptions Needed
Python - Loading More Data
Python - Data Preparation
Python - Preparing for Correlation Matrix
Correlation Recap and Stationarity
Python - Stationarity Test
Python - Correlation Matrix and Heatmap
Python - Google Causal Impact Setup
Python - Google Causal Impact
Interpretation of Results
Python - Causal Impact Results
CHALLENGE: Introduction
CHALLENGE: Solutions
EXERCISE: Imposter Syndrome

Section 6 - Matching

Matching - Game Plan
What is Matching?
CASE STUDY: Catholic Schools & Standardized Tests (Briefing)
Python - Directory and Libraries
Python - Loading Data
Unconfoundedness
Python - Comparing Means
Python - T-Test
Python - T-Test Loop
Python - Chi-square Test
Python - Chi-square Loop
The Curse of Dimensionality
Python - Transforming Race Variable
Python - Transforming Education Variable
Python - Cleaning and Preparing Dataset
Common Support Region
Python - Logistic Regression for Common Support Region
Python - Visualizing Common Support Region
Python - Matching
Matching Robustness Check
Python - Repeated Experiment
Python - Removing 1 Confounder
CHALLENGE: Introduction
CHALLENGE: Solutions
My Experience with Matching

PART C: DATA VISUALIZATION

What Is Data Visualization And Why It Is Important?

Section 7 - Distribution Charts and Plotting Basics

Game Plan for Distribution Charts
Histogram
CASE STUDY: Pokemon Master (Briefing)
Python: Libraries and Data
Python: Defining Chart Size
Python: Basic Histogram
Python: Customizing Histogram
Python: Adding Vertical Lines
Python: Adding Horizontal Lines
Box Plot
Python: Basic Box Plot
Python: Customizing Box Plot
Python: Defining Order of the Plot
Python: Swarmplot
Violin Plot
Python: Basic Violin Plot
Python: Customize Violin Plot
Ridgeline
Python: Prepare Data for Ridgeline
Python: Prepare Chart for Ridgeline
Python: Customize Layout
Python: HTML Export and Building a Cheat Sheet
Colours
What Did You Learn In This Section?

Section 8 - Ranking Charts

Game Plan for Ranking Charts
Bar Charts
CASE STUDY: World Happiness (Briefing)
Python: Libraries and Data
Python: Horizontal Bar Chart
Python: Customizing Bar Chart
Python: Vertical Bar Chart
Python: Highlight a Bar
Lollipop
Python: Lollipop Chart
Python: Customizing a Lollipop Chart
Spider Chart
Python: Spider Chart Preparation
Python: Basic Spider Chart
Python: Customizing Spider Chart
"The Visual Display of Quantitative Information" by Edward R. Tufte
What Did You Learn In This Section?

PART D: SEGMENTATION

What is Segmentation and why is it important?

Section 9 - RFM (Recency, Frequency, Monetary) Analysis

Game Plan for RFM
Value Based Segmentation
RFM Model
CASE STUDY: Online Shopping (Briefing)
Python: Directory and Libraries
Python: Loading Data
Python: Creating Sales Variable
Python: Date Variable
Python: Customer Level Aggregation
Python: Monetary Variable
Python: Tidying up Dataframe
Python: Quartiles
Python: RFM Score
Python: RFM Function
Python: Applying RFM Function
Python: Results Summary
CHALLENGE: Introduction
CHALLENGE: Solutions

Section 10 - Gaussian Mixture

Game Plan for Gaussian Mixture
Clustering
Gaussian Mixture Model
CASE STUDY: Credit Cards #1 (Briefing)
Python: Directory and Data
Python: Load Data
Python: Transform Character Variables
AIC and BIC
Python: Optimal Number of Clusters
Python: Gaussian Mixture Model
Python: Cluster Prediction and Assignment
Python: Interpretation
CHALLENGE: Introduction
CHALLENGE: Solutions
My Experience with Segmentation

PART E: PREDICTIVE ANALYTICS

What are Predictive Analytics and why are they important?

Section 11 - Random Forest

Game Plan for Random Forest
Ensemble Learning and Random Forest
How Decision Trees Work
CASE STUDY: Credit Cards #2 (Briefing)
Python: Directory and Libraries
Python: Loading Data
Python: Transform Object into Numerical Variables
Python: Summary Statistics
Random Forest Quirks
Python: Isolate X and Y
Python: Training and Test Set
Python: Random Forest Model
Python: Predictions
Python: Classification Report and F1 score
Python: Feature Importance
Parameter Tuning
Python: Parameter Grid
Python: Parameter Tuning
CHALLENGE: Introduction
CHALLENGE: Solutions (Part 1)
CHALLENGE: Solutions (Part 2)

Section 12 - (Facebook) Prophet

(Facebook) Prophet - Game Plan
Structural Time Series
(Facebook) Prophet
CASE STUDY: Wikipedia (Briefing)
Python: Directory and Libraries
Python: Loading and Inspecting the Data
Python: Formatting the Date Variable
Python: Renaming Variables
Dynamic Holidays
Python: Easter Holiday
Python: Black Friday Holidays
Python: Finishing Holiday Preparation
Training and Test Set in Time Series
Python: Training and Test Set
(Facebook) Prophet Model
Additive vs. Multiplicative Seasonality
Python: (Facebook) Prophet Model
Python: Regressor Coefficients
Python: Forecasting
Python: Event Assessment
Python: Accuracy Assessment
Python: Visualization
Cross-validation
Python: Cross-validation
Python: Cross-validation Results and Visualization
Parameters to Tune
Python: Parameter Grid
Python: Parameter Tuning
Python: Parameter Tuning Results
CHALLENGE: Introduction - Demand in NYC
CHALLENGE: Solutions (Part 1)
CHALLENGE: Solutions (Part 2)
CHALLENGE: Solutions (Part 3)
Forecasting at Uber

Part F - Advanced Analytics

What is Advanced Analytics and why it is so important?

Section 13 - Multivariate A/B Testing

Game Plan for Multivariate A/B Testing
CASE STUDY: Google's Homepage Experiment (Briefing)
Python: Libraries and Data
Python: EDA with ChatGPT
Multivariate A/B Testing (MVT)
Python: Full Factorial Setup
Python: Full Factorial Testing
Partial Factorial Deep Dive
Python: Partial Factoral Combinations
Python: ANOVA and Tukey's HSD Test
Python: Encoding Variables and Generate Combinations
Python: Regression Analysis Setup
Python: Regression Analysis
Python: Random Forest Model
Python: Random Forest Evaluation
Random Forest Parameter Tuning
Python: Parameter Tuning
Python: Parameter Tuning Best Model
Python: Inferring Untested Variants - Predicting
Python: Inferring Untested Variants - Comparing
Python: Inferring Untested Variants - Visualizing
What Did You Learn in This Section?
CASE STUDY: Coca Cola "Share a Coke" Campaign

Where To Go From Here?

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Taught by

Diogo Resende

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